This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment.
This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment.
Kyle Walker is an associate professor of geography at Texas Christian University, director of TCU's Center for Urban Studies, and a spatial data science consultant. His research focuses on demographic trends in the United States, demographic data visualization, and software tools for open spatial data science. He is the lead author of a number of R packages including tigris, tidycensus, and mapboxapi.
Inhaltsangabe
1. The United States Census and the R programming language 2. An introduction to tidycensus 3. Wrangling Census data with tidyverse tools 4. Exploring US Census data with visualization 5. Census geographic data and applications in R 6. Mapping Census data with R 7. Spatial analysis with US Census data 8. Modeling US Census data 9. Introduction to Census microdata 10. Analyzing Census microdata 11. Other Census and government data resources 12. Working with Census data outside the United States 13. Conclusion
1. The United States Census and the R programming language 2. An introduction to tidycensus 3. Wrangling Census data with tidyverse tools 4. Exploring US Census data with visualization 5. Census geographic data and applications in R 6. Mapping Census data with R 7. Spatial analysis with US Census data 8. Modeling US Census data 9. Introduction to Census microdata 10. Analyzing Census microdata 11. Other Census and government data resources 12. Working with Census data outside the United States 13. Conclusion
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